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STAT_6A_Practice Score: 3.8/14 4/7 answered Question 5 Have you ever wondered what factors make it easier for some cats to be more successful in catching

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STAT_6A_Practice Score: 3.8/14 4/7 answered Question 5 Have you ever wondered what factors make it easier for some cats to be more successful in catching prey? Scientists Michelle Harris and Karen Steudel studied the morphology of 17 domesticated cats. They defined a measure of a cat's ability to catch small animals to be the cat's "take-off velocity," or TOV score (TOV score = how quickly the cat can jump off of the ground). The scientists devised an experiment to see if body mass could be used to predict a cat's TOV score. Steudel, K. & Harris, M. (2002). The relationship between maximum jumping performance and hind limb morphology/physiology in domestic cats. Journal of Experimental Biology, 205(24), 3877-3889. https://doi.org/10.1242/jeb.205.24.3877 The following is a small bivariate dataset of the TOV scores, in centimeters (cm) per second, and body mass measurements, in grams (g), for the 17 cats involved in the experiment. Body mass (g) | TOV (cm per second) :640 334. 2670 387.3 5600 410.8 4130 318.6 3020 368.7 2660 358.8 3240 344.6 5140 324.6 3690 301.4 3620 331.8 5310 312.6 5560 316.8 3970 375.6 3770 372. 5100 314.3 2950 367.5 7930 286.3Part A: Identify the explanatory and response variables in this study. (Make sure to include the units in your description.) Explanatory variable v' Select an answer . TOV score in cm er second Response variable: [ '0 body mass in gram : and plot the data using the "Enter Own" feature. Do you think it is reasonable to use a linear model to describe the relationship between TOV score and body mass? Fill in the blanks. Yes; however, there is| Select an answer vi between the two variables. A linear model works best model. Part C: Use the Linear Regression tool to generate the line of best fit. What is the equation of the line of best t and the value ofthe correlation coefcient? Under Plot Options, select Regression line and make sure to use the equation of the regression line displayed by the data analysis tool. Hint Equation: 3} = Correlation Coefficient: 7- : Part A: Identify the explanatory and response variables in this study. {Make sure to include the units in your description.) Explanatory variable: | Select an answer VI Response variable v' Select an answer TOV score in cm per second body mass in gram '5 and plot the data using the "Enter Own" feature. Do you think it is reasonable to use a linear model to describe the relationship between TOV score and body mass? Fill in the blanks. Yes; however, there is| Select an answer v| between the two variables. A linear model works best model. Part C: Use the Linear Regression tool to generate the line of best fit. What is the equation of the line of best t and the value ofthe correlation coefcient? Under Plot Options, select Regression iine and make sure to use the equation of the regression line displayed by the data analysis tool. Hint Use x to describe the explanatory variable! Equation: Q = Correlation Coefficient: r : E Calculator Part A: Identify the explanatory and response variables in this study. (Make sure to include the units in your description.) Explanatory variable: i Select an answer VI Response variable: l Select an answer v| f and plot the data using the "Enter Own" feature. Do you think it is reasonable to use a linear model to describe the relationship between TOV score and body mass? Fill in the blanks. Yes; however, there i or Select an answer een the two variables. A linear mOdEI workSE only a moderate linear relationship (r : -0.493] a very weak linear relationship (r = 0.493) Part C: Use the Linear Regression tool to generate the line of best fit. What is the equation of the line of best fit and the value ofthe correlation coefcient? Under Piot Options, select Regression iine and make sure to use the equation of the regression line displayed by the data analysis tool. Hint Use x to describe the explanatory variable! Equation: Q = Correlation Coefficient: 'r : a Calculator Part A: Identify the explanatory and response variables in this study. (Make sure to include the units in your description.) Explanatory variable: | Select an answer v| Response variable: | Select an answer V| E and plot the data using the "Enter Own" feature. Do you think it is reasonable to use a linear model to describe the relationship between TOV score and body mass? Fill in the blanks. Yes; however, there isl 9mm an answer v between the two variables. A linear model work VI Select an answer .t model. and is definitely the but may not be the Part C! Use the \"New Regression LUUI LU generate the line of best fit. What is the equation of the line of best t and the value ofthe correlation coefcient? Under Plot Options. select Regression line and make sure to use the equation of the regression line displayed by the data analysis tool. Hint Use x to describe the explanatory variable! Equation: 3} = ' Correlation Coefficient: r : l E Calculator STAT_6A_Pra ctice Score: 3.8/14 4/7 a nswered 0 Question 6 v

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